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15 Οκτ 2013 (πριν από 4 χρόνια και 25 μέρες)

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The Arab A
cademy for Banking and Financial Sciences (AABFS)

Artificial Intelligence (AI)
يعانطصلاا ءاكذلا

Lecturer: Ahmed Omari

Summer

Semester 2003/2004


1
/
1

Course outline

Artificial Intelligence (AI)

Ahmed Omari

10/15/2013


AABFS

Course Description

Introduction: AI definition, goals, applications, and searching techniques.
During the course duration
some

important topics in AI

will be presented
like

K
nowledge
B
ase

Systems
,
K
nowledge
R
epresentation,
R
easoning, and
C
ontrol

Reasoning.

The fundamentals of AI Systems will be
demonstrated by studying
systems like

Production Rule Systems, Expert Systems, and Machine
Learning. The Students
will
have
an idea about
Neural Networks
Systems and the fields of its
implementations. At the end of t
he course we will work together on one of the most important
languages used in AI systems, the PROLOG language, each student should be able to use PROLOG
and implement a case study.

Teaching / Learning Methodology:

Lectures Assignments

Project

Hands
-
on (La
b.)

Course
Contents



Subject


Weeks

1

Introduction

AI

definition
, Applications, Characteristics,

and

Searching
techniques

(
Blind
and

Heuristic search
).

1

2

Knowledge Representation,
Reasoning & Control

Production Rule Systems, Backward Search, Forward S
earch

1

4

Knowledge Representations Issues

Advantages and Disadvantages and design issues

1

3

State Space Search Strategies

Graph Theory, Searching Strategies, Using State space to
represent reasoning, Heuristic Search, Control and
Implementation of stat
e space search

3

5

Expert Systems

Overview, Advantages and disadvantages, other issues……

2

6

Control of Reasoning

Resolution Strategies,

Compile and Run
-
Time Control,
Monmonotonic Reasoning

2

7

Machine Learning

Principles, Implementations, Examples

2

8

Artificial
Neural Networks (
ANN
)

Back
-
propagation
, Delta

Rule, Boltzman Machine, NNW
Implementations and examples.

2

9

Misalliance

Fuzzy logic, NW examples, AI examples, Machine learning..
etc, Prolog Hands
-
on Lab, and implementations

2


Total weeks


16


Grading Policy
:


Midterm Exam

30%

Date assigned by AABFS

Assignments
,

quizzes,

and Project
s

20%

By lecturer

Final Exam

50%

Date assigned by AABFS

Total

100%


References:

1.

ARTIFICAL INTELLIGENCE: Structures and Strategies for Comp
lex Problem
Solving 4
th

Edition, George F Luger, Addison Wesley 2002
.

2.

Artificial Intelligence a Modern Approach 2
nd

Edition, Stuart Russell & Peter Norvig, Printice
Hall, 2003.

3.

Artificial Intelligence: A Guide to intelligent systems,
1
st

Edition, Michael N
egnevitsky,
Addison Wesley, 2002.

4.

Decision Support Systems and Intelligent Systems, 6
th

Edition, Efraim Turban, and Jay E.
Aronson, Prentice Hall, 2001.

5.

http://www.coli.uni
-
sb.de/~kris/learn
-
prolog
-
now/

6.

Lectures Notes, by Ahmed Omari